Sexuality and gender invariance of the PHQ-9 and GAD-7: Implications for 16 identity groups

Pilot study assessing gut microbial diversity among sexual and gender minority young adults

Evidence supports that people identifying as a sexual or gender minority (SGMs) experience minority-related stress resulting from discrimination or expectations of prejudice, and that this is associated with increased mental and physical health problems compared to cisgender heterosexuals. However, the biological mechanisms driving minority-related stress impacts remain unknown, including the role of the gut microbiome. Thus, the aim of this study was to determine the relationship between SGM status and gut microbiome health among young adults attending a 4-year university. To this end, a prospective pilot study was completed in the fall and spring semesters of 2021-22. Self-identified SGMs (N = 22) and cisgender-heterosexuals (CIS-HET, N = 43) completed in-person interviews to provide mental health data and demographic information. Nail and saliva samples were collected at the time of interview to quantify chronic and acute cortisol. Stool samples were collected within 48 hours of interview for microbiome analysis. Assessment of the gut microbiota identified a significant reduction in alpha diversity among the SGM group, even when adjusting for mental health outcome. SGM group showed trends for higher abundance of microbes in phylum Bacteroidetes and lower abundance of microbes in phyla Firmicutes, Actinobacteria, and Proteobacteria compared to the CIS-HET group. These findings support that the gut microbiome could be contributing to negative health effects among the SGM community.

From identity-based distress to thinking "I am better off being dead:" Minority stress, posttraumatic cognitions, and suicidal ideation

BACKGROUND

Suicidal ideation (SI) disproportionately impacts individuals with minoritized race/ethnicity, gender, and sexual orientation. Minority stress - i.e., traumatic, insidious distress that results from acts of discrimination - may lead to the formation of posttraumatic cognitions that may generalize to suicidal ideation, elevating SI risk in minoritized populations. The current study aimed to test this potential relationship by examining whether minority stress and posttraumatic cognitions accounted for the association between discrimination and SI.

METHODS

Series of structural equation models, including multigroup confirmatory factor analyses conducted to test invariance of latent constructs, were estimated on cross-sectional data collected from minoritized young adults (n = 337).

RESULTS

Results supported the hypothesized model: experience of discrimination indirectly associated with SI via correlations shared between minority stress and posttraumatic cognitions. Experiences of discrimination lacked a significant correlation with SI while accounting for minority stress and posttraumatic cognition variance. Invariance testing conducted to account for applicability of the model across race, ethnicity, sexual orientation, and plurality of minoritized identities all demonstrated that the model was applicable across these identity dimensions.

LIMITATIONS

Granular inspection of identity dimensions was infeasible due to sample size and causal inferences cannot be drawn given cross-sectional nature of the data used.

CONCLUSIONS

Posttraumatic cognitions within the context of discrimination may be effective treatment targets for minoritized individuals who present with minority stress and SI. Future studies should aim to replicate such findings longitudinally to infer temporality.

Multicultural Considerations for the Psychometrics of the Brief Pornography Screen

Problematic pornography use (PPU) is a burgeoning area of clinical interest. The Brief Pornography Screen (BPS) is a new PPU measure. The BPS has not been psychometrically studied within specific race/cultural groups. We sought to broaden the PPU literature by examining the confirmatory factor analysis (CFA) fit, measurement invariance, and structural invariance of the BPS across eight identity groups. Participants came from a survey administered at three U.S. universities. In total, n = 2,475 participants were analyzed, with the following identity group breakdowns: Asian American/Pacific Islander (AAPI) male = 268, AAPI female = 303, Black male = 101, Black female = 189, Latin male = 208, Latin female = 372, White male = 432, and White female = 602. BPS CFA fit was good across all groups. Measurement invariance analyses suggested metric, but not scalar invariance across all groups. We then split participants by sex assignment, full residual invariance was evident across groups for male participants and partial residual invariance was evident for female participants. Structural invariance analyses indicated anxiety as a weak positive BPS correlate in AAPI, Latin, and White male participants (β's = 0.25-0.27), but not meaningfully related in the other groups. Pornography viewing frequency was positively correlated with BPS scores across most groups with a wide range (β's = 0.29-0.52), except for Black male participants (β = 0.15). Our results suggest that the BPS is an appropriate PPU measure across the tested identity groups. While between-group measurement is relatively accurate within sex assignment groups, correlates differed in strength, meaning different variables likely predict PPU for different groups of people.

Measuring depression and anxiety in autistic college students: A psychometric evaluation of the PHQ-9 and GAD-7

LAY ABSTRACT

Anxiety, depression, and suicidality are major concerns among college students, though less is known about these constructs in autistic college students. Given the rising number of autistic individuals entering college, adequate screening and diagnosis of mental health difficulties is necessary to provide care to this population. For example, despite widespread usage of the Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7), it is unknown if the two instruments accurately measure depression and anxiety the same way between non-autistic and autistic individuals. Thus, the current study was the first to examine how these instruments measure depression and anxiety symptoms in autistic versus non-autistic college students. Utilizing tests of construct measurement in a sample of autistic (n = 477) and non-autistic (n = 429) university students aged 18-29, results showed that while the GAD-7 and PHQ-9 appear to be accurately capturing anxiety and depression in autistic college students, the PHQ-9 item assessing suicidality was found to be measuring different things. This indicates that autistic college students are not interpreting this question the way non-autistic students are, and thus, the measure is failing to capture suicidality in autistic people. Future investigators should continue to assess the appropriateness of using common screening measures, originally created by non-autistic people, in autistic populations.

Depression and Anxiety in Adolescents During the COVID-19 Pandemic in Relation to the Use of Digital Technologies: Longitudinal Cohort Study

BACKGROUND

Adolescents are susceptible to mental illness and have experienced substantial disruption owing to the COVID-19 pandemic. The digital environment is increasingly important in the context of a pandemic when in-person social connection is restricted.

OBJECTIVE

This study aims to estimate whether depression and anxiety had worsened compared with the prepandemic period and examine potential associations with sociodemographic characteristics and behavioral factors, particularly digital behaviors.

METHODS

We analyzed cross-sectional and longitudinal data from a large, representative Greater London adolescent cohort study: the Study of Cognition, Adolescents and Mobile Phones (SCAMP). Participants completed surveys at T1 between November 2016 and July 2018 (N=4978; aged 13 to 15 years) and at T2 between July 2020 and June 2021 (N=1328; aged 16 to 18 years). Depression and anxiety were measured using the Patient Health Questionnaire and Generalized Anxiety Disorder scale, respectively. Information on the duration of total mobile phone use, social network site use, and video gaming was also collected using questionnaires. Multivariable logistic regression was used to assess the cross-sectional and longitudinal associations of sociodemographic characteristics, digital technology use, and sleep duration with clinically significant depression and anxiety.

RESULTS

The proportion of adolescents who had clinical depression and anxiety significantly increased at T2 (depression: 140/421, 33.3%; anxiety: 125/425, 29.4%) compared with the proportion of adolescents at T1 (depression: 57/421, 13.5%; anxiety: 58/425, 13.6%; P for 2-proportion z test <.001 for both depression and anxiety). Depression and anxiety levels were similar between the summer holiday, school opening, and school closures. Female participants had higher odds of new incident depression (odds ratio [OR] 2.5, 95% CI 1.5-4.18) and anxiety (OR 2.11, 95% CI 1.23-3.61) at T2. A high level of total mobile phone use at T1 was associated with developing depression at T2 (OR 1.89, 95% CI 1.02-3.49). Social network site use was associated with depression and anxiety cross-sectionally at T1 and T2 but did not appear to be associated with developing depression or anxiety longitudinally. Insufficient sleep at T1 was associated with developing depression at T2 (OR 2.26, 95% CI 1.31-3.91).

CONCLUSIONS

The mental health of this large sample of adolescents from London deteriorated during the pandemic without noticeable variations relating to public health measures. The deterioration was exacerbated in girls, those with preexisting high total mobile phone use, and those with preexisting disrupted sleep. Our findings suggest the necessity for allocating resources to address these modifiable factors and target high-risk groups.

Performance pressure and mental health among finance workers in Korea: a cross-sectional study

Objectives

While issues related to mental health, including suicide, have been frequently reported among finance workers, no formal investigation has been undertaken. This study was conducted to analyze correlations between indicators of performance pressure, which is a characteristic of the finance sector, and mental health.

Methods

An online survey was administered to 1,181 participants. Brief questionnaires were employed to ask general questions about participant characteristics, work environment, and the presence of performance pressure, suicidal thoughts/plans/attempts, depression (indicated by the Patient Health Questionnaire-9), and anxiety (measured with the Generalized Anxiety Disorder-7). Frequency analysis, chi-square testing, and multivariate logistic regression analysis were performed.

Results

Of the 1,181 respondents, 797 (83.54%) reported feeling pressure to perform at work, while 252 (26.42%) admitted to occasional willingness to achieve results even through illegal activities. Multivariate logarithmic regression analysis was employed to examine the correlation between performance pressure and mental health. This analysis revealed that those expressing willingness to achieve.

Results

through illegal activities exhibited higher levels of suicidal ideation (adjusted odds ratio [aOR], 1.63; 99% confidence interval [CI], 1.04-2.55), plans (aOR, 1.75; 99% CI, 1.01-3.01), and attempts (aOR, 2.72; 99% CI, 1.06-6.98). Additionally, these individuals demonstrated higher levels of depression (aOR, 2.02; 99% CI, 1.34-3.06) and anxiety (aOR, 2.84; 99% CI, 1.81-4.46).

Conclusion

Performance pressure is prevalent within the finance industry. This pressure serves as a major source of stress for employees and is evident in 3 representative indicators of mental health: suicide, depression, and anxiety.

Perinatal Depression Screening Among Sexual Minority Women

Importance

A substantial number of births in the US are to sexual minority women (17% based on a nationally representative survey), yet there is little research on perinatal depression screening rates or symptom endorsement among sexual minority women (including women who identify as lesbian, bisexual, queer, pansexual, asexual, demisexual, and kinky as well as other-identified women who have sex with women). High rates of risk factors for perinatal depression (eg, intimate partner violence and history of mental illness) among sexual minority individuals magnify this gap in the literature.

Objective

To describe the prevalence of female-identified sexual minority people giving birth in an academic medical center and compare perinatal depression screening rates and scores among sexual minority women and heterosexual cisgender women.

Design, Setting, and Participants

This retrospective cohort study used deidentified medical record review of 18 243 female-identified individuals who gave birth at an academic medical center in Chicago, Illinois, between January 1 and December 31, 2019. Data were analyzed from April 5, 2021, to August 1, 2022.

Main Outcomes and Measures

Proportion of women identified as having sexual minority status in the medical record, rates of standard care administration of the 9-item Patient Health Questionnaire between sexual minority women and heterosexual women, and depression screening scores and rates of positive depression screening results for sexual minority and heterosexual women.

Results

Among 18 243 women (mean [SD] age, 33.8 [5.1] years; 10 453 [57.3%] of non-Hispanic White race and ethnicity), only 280 (1.5%; 95% CI, 1.3%-1.7%) were identified as having sexual minority status in the medical record. Significantly more sexual minority women vs heterosexual women attended at least 1 prenatal care visit (56 [20.0%] vs 2459 [13.7%]; P = .002) and at least 1 postpartum care visit (52 [18.6%] vs 2304 [12.8%]; P = .004). Sexual minority women were more likely to be screened for depression during postpartum care (odds ratio, 1.77; 95% CI, 1.22-2.52; P = .002) and more likely to screen positive for depression during the postpartum period (odds ratio, 2.38; 95% CI, 0.99-5.02; P = .03) than heterosexual women.

Conclusions and Relevance

In this cohort study, sexual minority women identified in the medical record were highly engaged in obstetric care yet at high risk of postpartum depression. In addition, their sexual orientation was largely undocumented in medical records. These results highlight the need for investigations that include strategies for measuring sexual orientation because medical record review is unlikely to reliably capture these sexual identities during the perinatal period.

Mental health and drug use in college students: Should we take action?

BACKGROUND

College students are vulnerable to suffering from anxiety and depression. Moreover, mental disorders can contribute to drug consumption or inappropriate use of prescribed drugs. Studies on this topic in Spanish college students are limited. This work analyses anxiety and depression and psychoactive drug intake pattern in the post-COVID era in college students.

METHODS

An online survey was conducted among college students from UCM (Spain). The survey collected data including demographic, academic student perception, GAD-7 and PHQ-9 scales, and psychoactive substances consumption.

RESULTS

A total of 6798 students were included; 44.1 % (CI95%: 42.9 to 45.3) showed symptoms of severe anxiety and 46.5 % (CI95%: 45.4 to 47.8) symptoms of severe or moderately severe depression. The perception of these symptoms did not change after returning to face-to-face university classes in the post-COVID19 era. Despite the high percentage of cases with clear symptoms of anxiety and depression, most students never had a diagnosis of mental illnesses [anxiety 69.2 % (CI95%: 68.1 to 70.3) and depression 78.1 % (CI95%: 77.1 to 79.1)]. Regarding psychoactive substances, valerian, melatonin, diazepam, and lorazepam were the most consumed. The most worrying issue was the consumption of diazepam, 10.8 % (CI95%: 9.8 to 11.8), and lorazepam, 7.7 % (CI95%: 6.9 to 8.6) without medical prescription. Among illicit drugs, cannabis is the most consumed.

LIMITATIONS

The study was based on an online survey.

CONCLUSIONS

The high prevalence of anxiety and depression aligned with poor medical diagnosis and high intake of psychoactive drugs should not be underestimated. University policies should be implemented to improve the well-being of students.

Factors Influencing the Level of Depression and Anxiety of Community-Dwelling Patients with Schizophrenia in China during the COVID-19 Pandemic

The coronavirus disease 2019 (COVID-19) poses a huge challenge to global public health. People with schizophrenia living in communities urgently need effective interventions to help them adjust to life and work, but they have not received enough attention. This study aims to assess the prevalence of anxiety and depression symptoms in community-dwelling patients with schizophrenia in China during the epidemic and to explore the possible influencing factors.

METHODS

Using a cross-sectional survey, we collected 15,165 questionnaires. Assessments included demographic information, concern about COVID-19-related information, sleep status, anxiety and depressive symptoms, and accompanying illnesses. The 7-item Generalized Anxiety Disorder (GAD-7) and the 9-item Patient Health Questionnaire (PHQ-9) were used to evaluate depression and anxiety levels. Group comparison was conducted by t-test, ANOVA, or chi-square test wherever suitable, with Bonferroni pairwise correction. Multivariate logistic regression was performed to identify predictors for anxiety and depression.

RESULTS

16.9% of patients had at least moderate anxiety, and 34.9% had at least moderate depression. T-test showed that females scored higher on GAD-7 and PHQ-9 than males, and patients without accompanying long-standing diseases, who were not concerned about COVID-19, had lower GAD-7 and PHQ-9 scores. ANOVA showed that participants aged from 30 to 39, with higher education scored higher on GAD-7, and patients with better sleep, and having less concern about COVID-19, had lower GAD-7 and PHQ-9 scores. Regression analysis indicated that participant ages of 30-39 and 40-49 positively predicted anxiety, whereas patient ages of 30-39 years positively predicted depression. Patients with poor sleep, accompanying diseases, and concern about the COVID-19 pandemic were more likely to experience anxiety and depression.

CONCLUSION

During the pandemic, Chinese community-dwelling patients with schizophrenia had high rates of anxiety and depression. These patients deserve clinical attention and psychological intervention, especially those with risk factors.

Informing measurement of gender differences in suicide risk and resilience: A national study of United States military veterans

OBJECTIVE

To inform measure selection when examining gender differences in suicide risk, this paper evaluates measure performance for a set of gender-relevant constructs and examines gender differences in mean scores.

METHODS

A national sample of veterans (n = 968) who had recently attempted suicide (past 6 months) completed measures assessing life experience-, psychosocial-, and health-related constructs. A multigroup latent variable model was used to assess similarity of measurement properties between women and men.

RESULTS

Metric and scalar invariance indicated that the latent variables functioned similarly between women and men. Women had higher scores on negative coping, institutional betrayal, and social rejection; men had higher scores on self-compassion, autonomy, and suicide ideation.

CONCLUSIONS

Measurement properties and gender differences in mean values support the use of these measures for research on gender differences. Findings also suggest further investigation of social rejection, institutional betrayal, and negative coping among women veterans at risk for suicide.

Structural Life Instability and Factors Related to Latino Sexual Minority Men's Intention to Engage with Biomedical HIV-Prevention Services

Latino sexual minority men (LSMM) experience high rates of HIV and co-occurring health inequities. Structural and psychosocial factors may lead to mental health problems and decreased engagement with biomedical HIV-prevention behaviors. This cross-sectional study assessed the extent to which structural life instability is related to biomedical HIV-prevention services engagement (HIV-testing and PrEP uptake) indirectly through psychological distress among 290 LSMM living in Greater Miami. Using hybrid structural equation modeling, significant direct effects from structural life instability to psychological distress emerged, as did effects from psychological distress (i.e., depression and anxiety) to HIV-prevention engagement. Structural life instability had a significant indirect effect to HIV-prevention engagement via psychological distress. Findings show a possible mechanism explaining the relationship between structural life instability and biomedical HIV-prevention engagement among a group of LSMM, a subpopulation at increased susceptibility for HIV acquisition in an U.S. HIV epicenter.

Sex Differences in Depression and Anxiety Symptoms: Measurement Invariance, Prevalence, and Symptom Heterogeneity Among University Students in South Africa

Adequate measurement is an essential component of the assessment of mental health disorders and symptoms such as depression and anxiety. The present study investigated sex-specific differences in the Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7). This comprehensive cross-sectional design study pursued four objectives: measurement invariance of PHQ-9 and GAD-7 between male and female; depression and anxiety prevalence differences; cross-sex differences in the relationship between depression and anxiety; and a comparison of symptom heterogeneity. A sample of 1966 (male = 592; female = 1374; mean age = 21 years) students from South Africa completed the PHQ-9 and the GAD-7. Data analyses for measurement invariance, latent class analysis, inter-variable correlations and group comparisons were conducted in Mplus. The two-dimensional PHQ-9 achieved scalar invariance, while the GAD-7 yielded metric invariance. The somatic and non-somatic latent dimensions of depression were compared and showed no significant difference between male and female groups. The positive relationship between depression and anxiety was also not significantly different between the two groups. While the PHQ-9 symptoms formed three classes in the male group, and four classes in the female group, the GAD-7 had the same number of classes (three) and a similar pattern between the two groups. These findings hold implications for the measurement, assessment and understanding of symptom manifestation and distribution, as well as the treatment of depression and anxiety in South Africa.

Within Clinic Reliability and Usability of a Voice-Based Amazon Alexa Administration of the Patient Health Questionnaire 9 (PHQ 9)

Over the last two decades, metric-based instruments have garnered popularity in mental health. Self-administered surveys, such as the Patient Health Questionnaire 9 (PHQ 9), have been leveraged to inform treatment practice of Major Depressive Disorder (MDD). The aim of this study was to measure the reliability and usability of a novel voice-based delivery system of the PHQ 9 using Amazon Alexa within a patient population. Forty-one newly admitted patients to a behavioral medicine clinic completed the PHQ 9 at two separate time points (first appointment and one-month follow up). Patients were randomly assigned to a version (voice vs paper) completing the alternate format at the next appointment. Patients additionally completed a 26-item User Experience Questionnaire (UEQ) and open-ended questionnaire at each session. Assessments between PHQ 9 total scores for the Alexa and paper version showed a high degree of reliability (α = .86). Quantitative UEQ results showed significantly higher overall positive attitudes towards the Alexa format with higher subscale scores on attractiveness, stimulation, and novelty. Further qualitative responses supported these findings with 85.7% of participants indicating a willingness to use the device at home. With the benefit of user instruction in a clinical environment, the novel Alexa delivery system was shown to be consistent with the paper version giving evidence of reliability between the two formats. User experience assessments further showed a preference for the novel version over the traditional format. It is our hope that future studies may examine the efficacy of the Alexa format in improving the at-home clinical treatment of depression.

Feasibility of a Machine Learning-Based Smartphone Application in Detecting Depression and Anxiety in a Generally Senior Population

Background

Depression and anxiety create a large health burden and increase the risk of premature mortality. Mental health screening is vital, but more sophisticated screening and monitoring methods are needed. The Ellipsis Health App addresses this need by using semantic information from recorded speech to screen for depression and anxiety.

Objectives

The primary aim of this study is to determine the feasibility of collecting weekly voice samples for mental health screening. Additionally, we aim to demonstrate portability and improved performance of Ellipsis’ machine learning models for patients of various ages.

Methods

Study participants were current patients at Desert Oasis Healthcare, mean age 63 years (SD = 10.3). Two non-randomized cohorts participated: one with a documented history of depression within 24 months prior to the study (Group Positive), and the other without depression (Group Negative). Participants recorded 5-min voice samples weekly for 6 weeks via the Ellipsis Health App. They also completed PHQ-8 and GAD-7 questionnaires to assess for depression and anxiety, respectively.

Results

Protocol completion rate was 61% for both groups. Use beyond protocol was 27% for Group Positive and 9% for Group Negative. The Ellipsis Health App showed an AUC of 0.82 for the combined groups when compared to the PHQ-8 and GAD-7 with a threshold score of 10. Performance was high for senior participants as well as younger age ranges. Additionally, many participants spoke longer than the required 5 min.

Conclusion

The Ellipsis Health App demonstrated feasibility in using voice recordings to screen for depression and anxiety among various age groups and the machine learning models using Transformer methodology maintain performance and improve over LSTM methodology when applied to the study population.

Factorial Validity and Invariance of an Adolescent Depression Symptom Screening Tool

CONTEXT

Depression is among the most common mental health disorder in youth, results in significant impairment, and is associated with a higher risk of suicide. Screening is essential but assessment tools may not be appropriate across races or do not account for the complex interrelatedness of various demographics including gender, socio-economic status and race.

OBJECTIVES

(1) To determine the factor structure of the Patient Health Questionnaire-Adolescent (PHQ-A) for measuring depression in a group of adolescent athletes; and (2) to determine measurement invariance between Blacks and Whites on the PHQ-A.

DESIGN

Retrospective cohort design.

SETTING

Data obtained from a secure database collected at a free, comprehensive, mass pre-participation physical exam (PPE) event hosted by a large health care system.

PARTICIPANTS

Participants included 683 high school athletes (Black n=416; White n=267). Independent variables included somatic and affective factors contributing to the construct of depression measured by the PHQ-A and participant race (Black and White).

MAIN OUTCOME MEASURES

(1) Factors upon which the construct of depression is measured and (2) measurement invariance between Blacks and Whites.

RESULTS

A two-factor model, including affective and somatic components, was specified and exhibited an adequate fit to the data (CFI> .90). All items exhibited moderate to high squared multiple correlation values (R2 = .10-.65), suggesting that these items resonated relatively well with participants. The two-factor model demonstrated noninvariance Black and White participants (RMSEA = .06-.08).

CONCLUSIONS

Overall, the structure of the PHQ-A is supported by a two-factor model in adolescent athletes, measuring both affective and somatic symptoms of depression. A two factor PHQ-A structure is not fully invariant for the adolescents sampled across participant groups, implying that the model functions differently between Blacks and Whites sampled.